搜索资源列表
PoS-Tagging-based-on-HMM
- 基于隐马尔科夫的中文词性标注系统的C++源代码，包括训练集和测试集语料库，单词量和词性数目都没有写死，可适应任意大的训练和测试数据集，程序已经过优化，一次标注只需要不到10秒的时间。-Based on Hidden Markov of the Chinese part of speech tagging system in C++ source code, including the training set and test set corpus, vocabulary and speech
1003
- 这个关于语音识别的文章，介绍了HMM模型的参数优化的 问题，以及HMM模型的孤立字识别中的应用。-This article on speech recognition, introduced the HMM model parameter optimization, as well as isolated word HMM model to identify the application.
speechbox
- 《matlab扩展编程》光盘资料.关于端点检测，录音，参数提取，HMM,LPC,MFCC,DYW等一些源代码-err
HMM
- 基于统计的分词，采用隐马尔可夫模型，并有实验报告-Based on statistics segmentation using hidden Markov models, and there is experimental report
Cforspeech
- ：用C 语言实现了一个用于控制家电开关的声音模块. 该声音模块采用当前语音识别系统的主流技 术——隐马尔可夫模型（HMM）技术，以及线性预测倒谱计算和矢量量化技术. 命令（单词）的正确识别率 在97 以上. 介绍了声音模块的设计方案，并就实现该声音模块的过程中所遇到的具体问题进行了讨论.-: The C language realization of a switch used to control the voice module appliances. The sound modul
BPNet
- 几种C++神经模型和算法实例,主要有BP神经网络、BP神经网络解决异或问题、HMM的C语言实现、矢量量化的C语言实现等。-Several C++ examples of neural models and algorithms, there are BP neural network, BP neural network to solve XOR problem, HMM of the C language, vector quantization, such as the C language
ASR_matlab
- 语音识别的MATLAB代码，包括用于测试的语音，实现了利用HMM(隐含马尔可夫)和DTW(动态规划)两种方法的实现。-ASR use HMM and DTW method include wave files use for test and training.
HMM
- 吉林大学时小虎老师机器学习课件——介绍隐马尔可夫模型-Jilin University, when the Tigers a teacher machine learning courseware- Introduction to Hidden Markov Model
ProjectSpeech_HMM
- Speech recognition using H-Speech recognition using HMM
mfcc_shibie
- 语音识别 处理 合成 hmm 马尔科夫模型-hmm mfcc
ch13
- 非特定人语音识别的HMM算法实现以及特定人语音识别DTW算法实现-Speaker-HMM speech recognition algorithm and independent speech recognition DTW algorithm
Speechrecognitiontechnology
- 比较详尽的介绍了语音识别系统的实现过程，以及相关技术。 端点检测：基于短时能量和短时平均过零率的端点检测和基于倒谱特征的端点检测 特征参数提取：LPCC和MFCC 参数模板存储：HMM和N_Gram 识别阶段：DWT 各阶段的相关技术都给了详细的介绍，绝对是好东西！-More detailed introduction to the speech recognition system implementation process and related technologie
HMM_anomaly_detection
- 本文从HMM的基本思想、概念出发，建立了基于网络的HMM异常检测原型。对原型在实际应用环境中产生的问题，提出了对观测对象（数据包头部）进行分段的改进办法，进而建立了具有可操作性的HMM异常检测模型。-From the basic thought and concept of HMM,the article establishes the prototype of HMM anomaly detection based on network.To resolve some problems whi
7c2f6c56ed6d
- 一个HMM的Matlab实现方法，可实现孤立词语音识别-Matlab implementation of a HMM methods, an isolated word speech recognition can be achieved
HMM
- matlab写的语音识别程序，一起交流用的，哈哈哈 -matlab speech recognition program to write, with the exchange, ha ha ha
Speech-Recognition--HMM
- 在MATLAB 环境下利用语音工具箱Voice Box 实现基于连续概率密度隐含马尔科夫模型的汉语语音识别系统-Using Voice- Box a mandarin speech recognition system is realized based on CDHMM in MATLAB environment.
hmm
- 基于HMM的语音识别系统的所有程序，说话人人识别-Everyone to identify all programs of the HMM-based speech recognition system, speech
HMM
- 基于matlab的语音识别代码（使用HMM算法的）-Matlab speech recognition code (using the HMM algorithm)
yunyinshibie-hmm-suan-fa-huizong-
- 语音识别基于hmm(隐马尔可夫模型)算法代码汇总(算法源码及应用)-Speech recognition based on hmm (Hidden Markov Model) algorithm code summary (algorithm source code and application)
speech-recognize-HMM-CPP
- 在语音识别中，用隐马尔科夫模型（HMM）进行训练，用C++编写的仿真代码-In speech recognition, hidden Markov model (HMM) for training, simulation code written in C++